US10762773B1 - Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system - Google Patents

Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system Download PDF

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US10762773B1
US10762773B1 US16/543,786 US201916543786A US10762773B1 US 10762773 B1 US10762773 B1 US 10762773B1 US 201916543786 A US201916543786 A US 201916543786A US 10762773 B1 US10762773 B1 US 10762773B1
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Prior art keywords
alarm
signal
alarm signal
valid
learning module
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English (en)
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Brian Beale
Sharath Venkatesha
Soumitri KOLAVENNU
Nathaniel Kraft
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Ademco Inc
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Ademco Inc
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Priority to US16/543,786 priority Critical patent/US10762773B1/en
Assigned to ADEMCO INC. reassignment ADEMCO INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KOLAVENNU, SOUMITRI, BEALE, Brian, KRAFT, NATHANIEL, Venkatesha, Sharath
Application filed by Ademco Inc filed Critical Ademco Inc
Priority to EP23167166.0A priority patent/EP4227921A3/fr
Priority to EP20178346.1A priority patent/EP3783582A3/fr
Priority to US16/942,709 priority patent/US11282374B2/en
Publication of US10762773B1 publication Critical patent/US10762773B1/en
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Assigned to JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT reassignment JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ADEMCO INC., RSI VIDEO TECHNOLOGIES, LLC
Priority to US17/674,271 priority patent/US11776387B2/en
Priority to US18/354,062 priority patent/US20230360517A1/en
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
    • G08B29/188—Data fusion; cooperative systems, e.g. voting among different detectors
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/14—Central alarm receiver or annunciator arrangements
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/001—Alarm cancelling procedures or alarm forwarding decisions, e.g. based on absence of alarm confirmation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/02—Monitoring continuously signalling or alarm systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
    • G08B29/186—Fuzzy logic; neural networks
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
    • G08B29/18—Prevention or correction of operating errors
    • G08B29/20—Calibration, including self-calibrating arrangements
    • G08B29/24—Self-calibration, e.g. compensating for environmental drift or ageing of components
    • G08B29/26—Self-calibration, e.g. compensating for environmental drift or ageing of components by updating and storing reference thresholds

Definitions

  • the present invention relates generally to security systems. More particularly, the present invention relates to systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system.
  • Known security systems utilize a cloud server to process alarm signals and distribute the alarm signals to a central monitoring station for review and transmission of alert signals to users and/or relevant authorities when needed.
  • known security systems often produce a high number of false alarms that consume bandwidth when transmitted and must be screened by live technicians at the central monitoring station, thereby greatly increasing costs associated with operating the central monitoring station.
  • the cloud server when the cloud server receives an alarm signal from a security system, the cloud server identifies the central monitoring station associated with the security system and transmits an unfiltered version of the alarm signal to the central monitoring station. Then, the central monitoring station processes the alarm signal by placing the alarm signal in a queue and retrieving associated customer information. When an operator becomes available, the central monitoring station removes the alarm signal and the associated customer information from the queue and presents the alarm signal and the associated customer information to the operator for review. In an attempt to identify any false alarms, the operator may contact a user of the security system via a primary phone number and/or a backup phone number to solicit user input indicative of whether the alarm signal is a valid alarm. Then, the operator will contact the relevant authorities when he or she confirms that the alarm signal likely corresponds to the valid alarm or fails to confirm that the alarm signal corresponds to a false alarm.
  • FIG. 1 is a block diagram of a system in accordance with disclosed embodiments
  • FIG. 2 is a block diagram of a system in accordance with disclosed embodiments
  • FIG. 3 is a block diagram of a system in accordance with disclosed embodiments.
  • FIG. 4 is a block diagram of a system in accordance with disclosed embodiments.
  • FIG. 5 is a block diagram of a system in accordance with disclosed embodiments.
  • FIG. 6 is a flow diagram of a method in accordance with disclosed embodiments.
  • Embodiments disclosed herein can include systems and methods that use artificial intelligence and machine learning to determine what security actions to execute and when to execute those security actions responsive to an alarm signal from a security system by fusing security system sensor data, situational awareness/contextual data, user preference data, and the like. For example, systems and methods disclosed herein can determine whether to push a security notification to a mobile application of a user, call or refrain from calling the user via a primary phone number and/or a backup phone number, and/or call or dispatch relevant authorities to a secured area.
  • systems and methods disclosed herein can build and use a false alarm predicting model to process alarm signals from the security system to (1) maximize a likelihood that false alarms are identified before otherwise being transmitted to the user and/or the relevant authorities and (2) enable use of an automated dispatcher module to directly report the alarm signals to the user and/or the relevant authorities.
  • a learning module can use the false alarm predicting model to process an alarm signal from the security system and, responsive thereto, generate a status signal.
  • the automated dispatcher module can process the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.
  • the false alarm predicting model can be managed by the learning module.
  • the learning module can receive the alarm signal from the security system and additional information associated with the alarm signal, use the false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, and transmit the status signal indicative of whether the combination represents the false alarm or the valid alarm to the automated dispatcher module. Then, the automated dispatcher module can use the status signal to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.
  • all or parts of the automated dispatcher module can be co-located with the learning module on a cloud server and/or a control panel of the security system as either a single integrated processing module or multiple distinct processing modules.
  • all or parts of the automated dispatcher module and the learning module can be located on separate components that are in communication with each other.
  • all or parts of the learning module can be located on the control panel, and all or parts of the automated dispatcher module can be located on the cloud server.
  • all or parts of the learning module can be located on the cloud server, and all or parts of the automated dispatcher module can be located on the control panel, or all or parts of the learning module can be located on the cloud server, and all or parts of the automated dispatcher module can be located on another server that is separate and distinct from the cloud server and the control panel.
  • each of the automated dispatcher module and the learning module can include a respective transceiver device and a respective memory device, each of which can be in communication with respective control circuitry, one or more respective programmable processors, and respective executable control software as would be understood by one of ordinary skill in the art.
  • the respective executable control software of each of the automated dispatcher module and the learning module can be stored on a transitory or non-transitory computer readable medium, including, but not limited to local computer memory, RAM, optical storage media, magnetic storage media, flash memory, and the like, and some or all of the respective control circuitry, the respective programmable processors, and the respective executable control software of each of the automated dispatcher module and the learning module can execute and control at least some of the methods described herein.
  • the security system can protect a geographic area
  • the additional information can include weather data from a time associated with the alarm signal, movement data associated with the geographic area during the time associated with the alarm signal, a location of users of the security system during the time associated with the alarm signal, and/or incident reports relevant to the geographic area.
  • the learning module can transmit an identification of the security system to the automated dispatcher module with the status signal, and responsive to receiving the status signal, the automated dispatcher module can identify and execute a customized response protocol associated with the security system. Then, the automated dispatcher module can determine whether a response to executing the customized response protocol is indicative of the false alarm or the valid alarm to automatically determine whether to alert authorities about the alarm signal.
  • the customized response protocol can include identifying one or more devices associated with the security system, such as a mobile device of the user, and transmitting a notification signal indicative of the alarm signal to those devices.
  • the response to executing the customized response protocol can include receiving user input indicating that the alarm signal is the false alarm or the valid alarm or failing to receive any user input.
  • the automated dispatcher module can treat failing to receive any user input as indicative of the alarm signal being the valid alarm.
  • the learning module can build the false alarm predicting model by parsing historical data from a historical time period. For example, in some embodiments, the learning module can parse a plurality of alarm signals from the historical time period, a plurality of additional information from the historical time period, feedback signals indicative of a plurality of false alarms from the historical time period, and feedback signals indicative of a plurality of valid alarms from the historical time period to build the false alarm predicting model.
  • the false alarm predicting model can include a global model used to assess a validity of alarms from a plurality of security systems that protect a plurality of geographic areas.
  • the plurality of alarm signals from the historical time period can originate from the plurality of security systems.
  • the plurality of additional information from the historical time period can include the weather data from the time associated with one of the plurality of alarm signals from the historical time period, the movement data associated with one of the plurality of geographic areas during the time associated with the one of the plurality of alarm signals from the historical time period, the location of the users of one of the plurality of security systems during the time associated with the one of the plurality of alarm signals from the historical time period, and/or the incident reports relevant to one of the plurality of geographic areas.
  • the false alarm predicting model can include a local model used to assess the validity of alarms from a single security system that protects a single geographic area.
  • the plurality of alarm signals from the historical time period can originate from the single security system.
  • the plurality of additional information from the historical time period can include the weather data from the time associated with one of the plurality of alarm signals from the historical time period, the movement data associated with the single geographic area during the time associated with the one of the plurality of alarm signals from the historical time period, the location of the users of the single security system during the time associated with the one of the plurality of alarm signals from the historical time period, and/or the incident reports relevant to the single geographic area.
  • the plurality of alarm signals from the historical time period can originate from the plurality of security systems as described in connection with the global model to initially build the local model, and in these embodiments, the local model can be updated based on events related to only the single security system.
  • the user can define specific parameters that are used to build the local model. For example, in some embodiments, the user can define a length of the historical time period from which the plurality of alarm signals are used to build the false alarm predicting model. Additionally or alternatively, in some embodiments, the user can specify other customized parameters that limit which of the plurality of alarm signals from the historical time period are used to build the false alarm predicting model. For example, the other customized parameters can include a defined geographic area, a type of the plurality of alarm signals, or other parameters that can limit which of the plurality of alarm signals from the historical time period are used to build the false alarm predicting model.
  • the plurality of alarm signals from the historical time period used to build the false alarm predicting model can include only those of the plurality of alarm signals that occurred within the defined geographic area.
  • the plurality of alarm signals from the historical time period used to build the false alarm predicting model can include only those of the plurality of alarm signals that match the type, for example, a window alarm signal or a door alarm signal.
  • the learning module can build the false alarm predicting model by recognizing patterns in the historical data. For example, in some embodiments, the learning module can identify first patterns of the plurality of alarm signals from the historical time period and the plurality of additional information from the historical time period that result in the feedback signals indicative of the plurality of false alarms from the historical time period. Similarly, the learning module can recognize second patterns of the plurality of alarm signals from the historical time period and the plurality of additional information from the historical time period that result in the feedback signals indicative of the plurality of valid alarms from the historical time period. Then, in operation, the learning module can compare the combination of the alarm signal and the additional information to the first patterns and the second patterns to determine whether the combination represents the false alarm or the valid alarm.
  • the learning module can update the false alarm predicting model for increased accuracy at future times.
  • the learning module can receive feedback signals indicating whether the combination of the alarm signal and the additional information represents the false alarm or the valid alarm and can use those feedback signals to update the false alarm predicting model for the increased accuracy at the future times.
  • any of the feedback signals described herein can include user input explicitly identifying the alarm signal or the plurality of alarm signals from the historical time period as the valid alarm or the false alarm. Additionally or alternatively, in some embodiments, any of the feedback signals described herein can include information related to actions executed in response to the alarm signal or the plurality of alarm signals from the historical time period that are indicative of the valid alarm or the false alarm.
  • the information related to the actions executed that are indicative of the false alarm can include a dispatcher of a central monitoring station refraining from notifying the authorities about the alarm signal or the plurality of alarm signals from the historical time period or a report from the authorities identifying the false alarm after surveying the geographic area associated with the security system from which the alarm signal or the plurality of alarm signals from the historical time period originated.
  • the report from the authorities identifying the false alarm can include a description of the authorities walking around the geographic area and identifying nothing unusual or identifying a window or a door being open because of weather, not any presence of an intruder.
  • the information related to the actions executed that are indicative of the valid alarm can include the dispatcher of the central monitoring station notifying the authorities about the alarm signal or the plurality of alarm signals from the historical time period or a report from the authorities identifying the valid alarm after surveying the geographic area associated with the security system from which the alarm signal or the plurality of alarm signals from the historical time period originated.
  • the learning module can receive the information related to the actions executed that are indicative of the false alarm or the valid alarm in a variety of ways. For example, in some embodiments, the learning module can automatically receive and parse the information related to the actions executed that are indicative of the false alarm or the valid alarm directly or via another module. Additionally or alternatively, in some embodiments, the learning module can manually receive the information related to the actions executed that are indicative of the false alarm or the valid alarm from an operator of the central monitoring station, from the user, or the relevant authorities.
  • the learning module can identify a score to determine whether the combination of the alarm signal and the additional information represents the false alarm or the valid alarm. For example, the score can be indicative of a likelihood or a probability that the combination represents the false alarm or the valid alarm. In some embodiments, the score can be based on an amount by which the alarm signal and the additional information match the plurality of alarm signals from the historical time period and the plurality of additional information from the historical time period, and in some embodiments, the alarm signal and/or the additional information can be automatically or manually assigned different weights for such a matching comparison. Furthermore, the learning module can transmit the score to the automated dispatcher module, for example, with the status signal.
  • the automated dispatcher module can compare the score to a threshold value to automatically determine whether to alert the user and/or the relevant authorities about the alarm signal.
  • the automated dispatcher module can automatically alert the user and/or the relevant authorities about the alarm signal without human intervention.
  • the score can include a simple numerical value that can be deciphered by a human user as indicating that the combination of the alarm signal and the additional information represents the false alarm or the valid alarm.
  • the score can include a range of values with a calculated distribution (e.g. Gaussian) that indicates whether the combination of the alarm signal and the additional information represents the false alarm or the valid alarm.
  • the automated dispatcher module can include a cumulative distribution function that indicates when the automated dispatcher module should alert the user and/or the authorities, and in some embodiments, a sensitivity of the automated dispatcher module to the score can be automatically or manually adjusted based on the user preference data, such as days of the week or when the user is out of town.
  • the learning module can make a binary determination as to whether the combination of the alarm signal and the additional information represents the false alarm or the valid alarm and transmit the binary determination to the automated dispatcher module with the status signal.
  • the automated dispatcher module can automatically alert the user and/or the relevant authorities about the alarm signal without human intervention.
  • the automated dispatcher module can insert the notification signal indicative of the alarm signal and demographic data associated with the alarm signal directly into a dispatch system for the relevant authorities.
  • some or all of the demographic data can be retrieved from a database of the cloud server using an identifier of the security system that sent the alarm signal to the cloud server. Additionally or alternatively, in some embodiments, some or all of the demographic data can be received from the security system with the alarm signal.
  • the automated dispatcher module can call the user and/or the relevant authorities using voice emulation systems to report the alarm signal. Additionally or alternatively, in some embodiments, the automated dispatcher module can transmit an instruction signal to the mobile device of the user with instructions to contact the relevant authorities.
  • the learning module can also transmit the status signal to a central monitoring station for processing thereof.
  • the status signal can include the score that is indicative of the likelihood or the probability that the combination of the alarm signal and the additional information represents the false alarm or the valid alarm, and the central monitoring station can use the score to process and prioritize the alarm signal.
  • the central monitoring station can deprioritize the alarm signal by, for example, placing the alarm signal at an end of a queue behind other alarm signals more likely to be valid.
  • a sensitivity of the central monitoring station to the score can be automatically or manually adjusted based on a price or level of service that the central monitoring station provides to the user.
  • the learning module can transmit the alarm signal to the central monitoring station for processing thereof only when the status signal is indicative of a high likelihood of the alarm signal being the valid alarm. For example, in embodiments in which the learning module identifies the score that is indicative of the likelihood or the probability that the combination represents the false alarm or the valid alarm, the learning module can transmit the alarm signal to the central monitoring station when the score meets or exceeds the threshold value. However, in embodiments in which the learning module outputs the binary determination as to whether the combination of the alarm signal and the additional information represents the false alarm or the valid alarm, the learning module can transmit the alarm signal to the central monitoring station when the binary determination indicates that the alarm signal is the valid alarm.
  • FIG. 1 , FIG. 2 , FIG. 3 , FIG. 4 , and FIG. 5 are block diagrams of systems 20 A, 20 B, 20 C, 20 D, 20 E in accordance with disclosed embodiments.
  • the systems 20 A, 20 B, 20 C, 20 D, 20 E can include a learning module 24 , an automated dispatcher module 26 , a security system 28 that protects a region R, a user device 30 associated with the security system 28 , an external information source 32 , and a dispatch system 34 .
  • the user device 30 and the external information source 32 can communicate with the learning module 24 , and the automated dispatcher module 26 can communicate with the dispatch system 34 .
  • the user device 30 can include a mobile device of a user of the security system 28
  • the external information source 32 can include a weather service, an emergency services database, and the like.
  • each of the learning module 24 and the automated dispatcher module 26 can include a respective transceiver device and a respective memory device in communication with respective control circuitry, one or more respective programmable processors, and respective executable control software as would be understood by one of ordinary skill in the art.
  • the respective executable control software of each of the learning module 24 and the automated dispatcher module 26 can be stored on a transitory or non-transitory computer readable medium, including, but not limited to local computer memory, RAM, optical storage media, magnetic storage media, flash memory, and the like, and some or all of the respective control circuitry, the respective programmable processors, and the respective executable control software of each of the learning module 24 and the automated dispatcher module 26 can execute and control at least some of the methods described herein.
  • both the learning module 24 and the automated dispatcher module 26 can be located on or be part of a cloud server 22 .
  • the automated dispatcher module 26 can be located on or be part of another server 36 .
  • both the learning module 24 and the automated dispatcher module 26 can be located on or be part of a control panel 22 .
  • the learning module 24 can be located or be part of the cloud server 22
  • the automated dispatcher module 26 can be located on or be part of the control panel 38 .
  • the automated dispatcher module 26 can be located on or be part of the cloud server 22
  • the learning module 24 can be located on or be part of the control panel 38 .
  • FIG. 6 is a flow diagram of a method 100 in accordance with disclosed embodiments.
  • the method 100 can include the learning module 24 receiving an alarm signal from the security system 28 and receiving additional information associated with the alarm signal from the security system 28 and/or from the external information source 32 , as in 102 . Then, the method 100 can include the learning module 24 using a false alarm predicting model to process a combination of the alarm signal and the additional information to determine whether the combination represents a false alarm or a valid alarm, as in 104 , and transmitting a status signal indicative of whether the combination represents the false alarm or the valid alarm to the automated dispatcher module 26 , as in 106 .
  • the method 100 can include the automated dispatcher module 26 determining whether the status signal indicates that the automated dispatcher module 26 should alert the user and/or relevant authorities about the alarm signal, as in 108 .
  • the method 100 can include taking no further action, as in 110 .
  • the method 100 can include the automated dispatcher module 26 initiating an appropriate action as in 112 , for example, by alerting the relevant authorities by inserting a notification signal indicative of the alarm signal and demographic data associated with the alarm signal directly into the dispatch system 34 .

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
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US16/543,786 2019-08-19 2019-08-19 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system Active US10762773B1 (en)

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Application Number Priority Date Filing Date Title
US16/543,786 US10762773B1 (en) 2019-08-19 2019-08-19 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
EP23167166.0A EP4227921A3 (fr) 2019-08-19 2020-06-04 Systeme et procedes pour construire et utiliser un modele de prevision de fausses alarmes
EP20178346.1A EP3783582A3 (fr) 2019-08-19 2020-06-04 Systèmes et procédés pour construire et utiliser un modèle de prédiction de fausse alarme
US16/942,709 US11282374B2 (en) 2019-08-19 2020-07-29 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US17/674,271 US11776387B2 (en) 2019-08-19 2022-02-17 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US18/354,062 US20230360517A1 (en) 2019-08-19 2023-07-18 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system

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US17/674,271 Active US11776387B2 (en) 2019-08-19 2022-02-17 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US18/354,062 Pending US20230360517A1 (en) 2019-08-19 2023-07-18 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system

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US17/674,271 Active US11776387B2 (en) 2019-08-19 2022-02-17 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US18/354,062 Pending US20230360517A1 (en) 2019-08-19 2023-07-18 Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220172602A1 (en) * 2019-08-19 2022-06-02 Ademco Inc. Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11769324B2 (en) 2021-04-19 2023-09-26 Bank Of America Corporation System for detecting unauthorized activity
US11620888B2 (en) 2021-04-19 2023-04-04 Bank Of America Corporation System for detecting and tracking an unauthorized person
US20230230469A1 (en) * 2022-01-18 2023-07-20 Johnson Controls Tyco IP Holdings LLP Building security systems with false alarm reduction features

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150061859A1 (en) 2013-03-14 2015-03-05 Google Inc. Security scoring in a smart-sensored home
US9013294B1 (en) 2012-01-24 2015-04-21 Alarm.Com Incorporated Alarm probability
WO2016109838A1 (fr) 2014-12-31 2016-07-07 Google Inc. Gestion automatisée de livraison de colis à une maison intelligente
US9786158B2 (en) * 2014-08-15 2017-10-10 Adt Us Holdings, Inc. Using degree of confidence to prevent false security system alarms
US10380521B2 (en) * 2016-06-06 2019-08-13 Tyco Integrated Security Llc Predicting service for intrusion and alarm systems based on signal activity patterns

Family Cites Families (142)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4191953A (en) 1975-01-23 1980-03-04 Microwave and Electronic System Limited Intrusion sensor and aerial therefor
GB2078413A (en) 1980-06-03 1982-01-06 Edwards Derek Intruder detecting systems
US4527151A (en) 1982-05-03 1985-07-02 Sri International Method and apparatus for intrusion detection
JPS6047977A (ja) 1983-08-26 1985-03-15 Matsushita Electric Works Ltd 赤外線人体検知装置
ES1006935Y (es) 1988-02-22 1989-07-16 Electronic Trafic, S.A. Dispositivo de deteccion de presencia humana aplicado al control de trafico.
US5026990A (en) 1989-08-28 1991-06-25 Sentrol, Inc. Method and apparatus for installing infrared sensors in intrusion detection systems
US5276427A (en) 1991-07-08 1994-01-04 Digital Security Controls Ltd. Auto-adjust motion detection system
US5331308A (en) 1992-07-30 1994-07-19 Napco Security Systems, Inc. Automatically adjustable and self-testing dual technology intrusion detection system for minimizing false alarms
US5287111A (en) 1992-08-24 1994-02-15 Shmuel Hershkovitz Doppler shift motion detector with variable power
US5781108A (en) 1995-11-14 1998-07-14 Future Tech Systems, Inc. Automated detection and monitoring (ADAM)
US5758324A (en) 1995-12-15 1998-05-26 Hartman; Richard L. Resume storage and retrieval system
US7113091B2 (en) 1996-05-30 2006-09-26 Script Michael H Portable motion detector and alarm system and method
US6940405B2 (en) 1996-05-30 2005-09-06 Guardit Technologies Llc Portable motion detector and alarm system and method
US5986357A (en) 1997-02-04 1999-11-16 Mytech Corporation Occupancy sensor and method of operating same
US5966090A (en) 1998-03-16 1999-10-12 Mcewan; Thomas E. Differential pulse radar motion sensor
ATE259527T1 (de) 1998-10-06 2004-02-15 Interlogix Inc Drahtloses hausfeuer - und sicherheitswarnungssystem
JP2000338231A (ja) 1999-05-31 2000-12-08 Mitsubishi Electric Corp 侵入者検知装置
EP1061489B1 (fr) 1999-06-07 2004-08-25 Siemens Building Technologies AG Détecteur d'intrusion avec dispositif de surveillance contre un sabotage
US6177903B1 (en) 1999-06-14 2001-01-23 Time Domain Corporation System and method for intrusion detection using a time domain radar array
US6353385B1 (en) 2000-08-25 2002-03-05 Hyperon Incorporated Method and system for interfacing an intrusion detection system to a central alarm system
CN1277377C (zh) 2000-12-27 2006-09-27 广东科龙电器股份有限公司 网络冰箱及其控制方法
US6791458B2 (en) 2001-05-22 2004-09-14 Hubbell Incorporated Dual technology occupancy sensor and method for using the same
CA2351138A1 (fr) 2001-06-20 2002-12-20 Standard Tool & Mold Inc. Avertisseur de proximite pour automobiles
US20030030557A1 (en) 2001-08-08 2003-02-13 Trw Inc. Apparatus and method for detecting intrusion and non-intrusion events
DE10152543A1 (de) 2001-10-24 2003-05-08 Sick Ag Verfahren und Vorrichtung zum Steuern einer sicherheitsrelevanten Funktion einer Maschine
JP2003187342A (ja) 2001-12-19 2003-07-04 Hitachi Ltd セキュリティシステム
JP2003242566A (ja) 2002-02-18 2003-08-29 Optex Co Ltd 侵入検知装置
JP2003317178A (ja) 2002-04-22 2003-11-07 Ntt Electornics Corp 監視システム、および通信異常検出通報機能付きノード装置
US8509391B2 (en) 2002-06-20 2013-08-13 Numerex Corp. Wireless VoIP network for security system monitoring
US7532568B1 (en) 2002-07-09 2009-05-12 Nortel Networks Limited Geographic redundancy for call servers in a cellular system based on a bearer-independent core network
US7168783B2 (en) 2002-08-21 2007-01-30 Canon Kabushiki Kaisha Apparatus and method of controlling a printhead of a printing apparatus
US7042349B2 (en) 2002-08-30 2006-05-09 General Electric Company Testing and installing sensors in a security system
US7274387B2 (en) 2002-10-15 2007-09-25 Digicomp Research Corporation Automatic intrusion detection system for perimeter defense
US20040186739A1 (en) * 2002-11-01 2004-09-23 David Bolles Customer configurable system and method for alarm system and monitoring service
US6946959B2 (en) 2002-12-20 2005-09-20 Randall Wang Wireless alarm system for contributing security network
US7873868B1 (en) 2003-01-17 2011-01-18 Unisys Corporation Method for obtaining higher throughput in a computer system utilizing a clustered systems manager
US7617327B1 (en) 2003-03-17 2009-11-10 Network Equipment Technologies, Inc. Method and system for implementing external applications using remote socket application programming interface for virtual routers
US7627780B2 (en) 2003-04-23 2009-12-01 Dot Hill Systems Corporation Apparatus and method for deterministically performing active-active failover of redundant servers in a network storage appliance
JP2004333282A (ja) 2003-05-07 2004-11-25 Optex Co Ltd マイクロウエーブセンサ
JP4250697B2 (ja) 2003-09-04 2009-04-08 オプテックス株式会社 組合せセンサ
CN100486192C (zh) 2003-10-30 2009-05-06 乐金电子(天津)电器有限公司 家用电器的远程控制系统
US20050128067A1 (en) 2003-12-11 2005-06-16 Honeywell International, Inc. Automatic sensitivity adjustment on motion detectors in security system
US7117051B2 (en) 2004-03-15 2006-10-03 Tmio, Llc Appliance communication system and method
US8963713B2 (en) 2005-03-16 2015-02-24 Icontrol Networks, Inc. Integrated security network with security alarm signaling system
US8988221B2 (en) 2005-03-16 2015-03-24 Icontrol Networks, Inc. Integrated security system with parallel processing architecture
AU2005249022A1 (en) 2004-05-31 2005-12-15 Jason Andrew Roper Computer network security
US8018332B2 (en) 2006-02-02 2011-09-13 Procon, Inc. Global emergency alert notification system
US7439854B2 (en) 2004-09-29 2008-10-21 Tekelec Methods, systems, and computer program products for time-based inhibiting of alarms and time-based removal of inhibited alarms
US7053765B1 (en) 2004-11-02 2006-05-30 Provider Services, Inc. Active security system
US7636039B2 (en) 2004-11-29 2009-12-22 Honeywell International Inc. Motion detector wireless remote self-test
JP2006171944A (ja) 2004-12-14 2006-06-29 Optex Co Ltd 複合型防犯センサ
KR20060073055A (ko) 2004-12-24 2006-06-28 린나이코리아 주식회사 주택 단지형 홈 네트워크 보안 방법 및 시스템
US9306809B2 (en) 2007-06-12 2016-04-05 Icontrol Networks, Inc. Security system with networked touchscreen
WO2006100672A2 (fr) 2005-03-21 2006-09-28 Visonic Ltd. Detecteurs passifs a infrarouge
JP3867805B2 (ja) 2005-04-11 2007-01-17 オプテックス株式会社 防犯センサ
US7327253B2 (en) 2005-05-04 2008-02-05 Squire Communications Inc. Intruder detection and warning system
JP4518268B2 (ja) 2005-05-25 2010-08-04 アイキュー グループ センディリアン バハド 回転可能なフォーカスビューを備えた動作検出デバイス、及び特定のフォーカスビューを選択する方法
JP3903221B2 (ja) 2005-06-24 2007-04-11 オプテックス株式会社 防犯センサ
US7616148B2 (en) 2005-11-23 2009-11-10 Honeywell International Inc. Microwave smart motion sensor for security applications
JP2007147532A (ja) 2005-11-30 2007-06-14 Hitachi Ltd レーダ装置
US7375630B2 (en) 2006-01-27 2008-05-20 Honeywell International Inc. Dual technology sensor device with range gated sensitivity
US20070210909A1 (en) 2006-03-09 2007-09-13 Honeywell International Inc. Intrusion detection in an IP connected security system
US9655217B2 (en) 2006-03-28 2017-05-16 Michael V. Recker Cloud connected motion sensor lighting grid
US7831406B2 (en) 2006-04-13 2010-11-09 Radatec, Inc. Method of sensor multiplexing for rotating machinery
US20070252720A1 (en) 2006-04-27 2007-11-01 U.S. Safety And Security, L.L.C. Multifunction portable security system
US8432448B2 (en) 2006-08-10 2013-04-30 Northrop Grumman Systems Corporation Stereo camera intrusion detection system
US7880603B2 (en) 2006-10-09 2011-02-01 Robert Bosch Gmbh System and method for controlling an anti-masking system
US9125144B1 (en) 2006-10-20 2015-09-01 Avaya Inc. Proximity-based feature activation based on programmable profile
US20080184059A1 (en) 2007-01-30 2008-07-31 Inventec Corporation Dual redundant server system for transmitting packets via linking line and method thereof
US7633385B2 (en) 2007-02-28 2009-12-15 Ucontrol, Inc. Method and system for communicating with and controlling an alarm system from a remote server
US7679509B2 (en) 2007-03-07 2010-03-16 Robert Bosch Gmbh System and method for improving infrared detector performance in dual detector system
US7705730B2 (en) 2007-03-07 2010-04-27 Robert Bosch Gmbh System and method for improving microwave detector performance using ranging microwave function
US8199608B2 (en) 2007-06-12 2012-06-12 Honeywell International Inc. System and method for adjusting sensitivity of an acoustic sensor
US8063375B2 (en) 2007-06-22 2011-11-22 Intel-Ge Care Innovations Llc Sensible motion detector
US8819764B2 (en) 2007-09-07 2014-08-26 Cyber Solutions Inc. Network security monitor apparatus and network security monitor system
DE102007047716A1 (de) 2007-10-05 2009-04-09 Robert Bosch Gmbh Sensoreinrichtung zur kapazitiven Abstandsermittlung
US7796033B2 (en) 2007-11-14 2010-09-14 Honeywell International Inc. System and method for calibrating a microwave motion detector
US7852210B2 (en) 2007-12-31 2010-12-14 Honeywell International Inc. Motion detector for detecting tampering and method for detecting tampering
GB2458158B (en) 2008-03-07 2010-06-23 Alertme Com Ltd Electrical appliance monitoring systems
JP5213108B2 (ja) 2008-03-18 2013-06-19 株式会社日立製作所 データ複製方法及びデータ複製システム
CA2665130A1 (fr) 2008-05-02 2009-11-02 Escherlogic Inc. Systeme d'alarme d'urgence et methode d'installation
US8179256B2 (en) 2008-05-22 2012-05-15 Honeywell International Inc. Server based distributed security system
US8102261B2 (en) 2008-07-17 2012-01-24 Honeywell International Inc. Microwave ranging sensor
US8130107B2 (en) 2008-08-19 2012-03-06 Timothy Meyer Leak detection and control system and method
US8050551B2 (en) 2008-09-30 2011-11-01 Rosemount Aerospace, Inc. Covert camera with a fixed lens
US8232909B2 (en) 2008-09-30 2012-07-31 Cooper Technologies Company Doppler radar motion detector for an outdoor light fixture
CN101446965B (zh) 2008-12-31 2011-11-30 中国建设银行股份有限公司 一种数据查询方法及系统
US8284063B2 (en) 2009-02-09 2012-10-09 Jensen Bradford B Peripheral event indication with pir-based motion detector
US8711218B2 (en) 2009-02-09 2014-04-29 Verint Systems, Ltd. Continuous geospatial tracking system and method
US8638211B2 (en) 2009-04-30 2014-01-28 Icontrol Networks, Inc. Configurable controller and interface for home SMA, phone and multimedia
US8509815B1 (en) 2009-05-21 2013-08-13 Sprint Communications Company L.P. Dynamically updating a home agent with location-based information
US7987392B2 (en) 2009-06-08 2011-07-26 Microsoft Corporation Differentiating connectivity issues from server failures
JP5193143B2 (ja) 2009-07-27 2013-05-08 パナソニック株式会社 火災警報システム
US8565125B2 (en) 2009-07-29 2013-10-22 Honeywell International Inc. Services based two way voice service recording and logging
US20110047253A1 (en) 2009-08-19 2011-02-24 Samsung Electronics Co. Ltd. Techniques for controlling gateway functionality to support device management in a communication system
US20110046698A1 (en) 2009-08-24 2011-02-24 Medtronic, Inc. Recovery of a wireless communication session with an implantable medical device
US8396446B2 (en) 2009-09-15 2013-03-12 Tyco Safety Products Canada Ltd. Two way voice communication through GSM with alarm communication
NL1037342C2 (nl) 2009-10-02 2011-04-05 Inventor Invest Holding B V Beveiligingssysteem en werkwijze voor het beveiligen van een gebied.
US8391893B2 (en) 2009-12-11 2013-03-05 At&T Mobility Ii Llc Devices, systems and methods for SMS-based location querying
US9123233B2 (en) 2010-04-07 2015-09-01 Clean Hands Safe Hands Systems for monitoring hand sanitization
US20110254681A1 (en) 2010-04-16 2011-10-20 Infrasafe, Inc. Security monitoring method
US8429624B2 (en) 2010-08-17 2013-04-23 Lsi Corporation Application programming interface (API) router implementation and method
US8626210B2 (en) 2010-11-15 2014-01-07 At&T Intellectual Property I, L.P. Methods, systems, and products for security systems
US8456299B2 (en) 2010-12-01 2013-06-04 Tyco Safety Products Canada Ltd. Automated audio messaging in two-way voice alarm systems
US9147337B2 (en) 2010-12-17 2015-09-29 Icontrol Networks, Inc. Method and system for logging security event data
CN102566502A (zh) 2010-12-28 2012-07-11 鸿富锦精密工业（深圳）有限公司 人体接近感应装置
DE202011004996U1 (de) 2011-04-07 2012-01-27 Jens Auktuhn Internetbasiertes Online-Alarm-System für Home- und Businessanwendungen
US20120319840A1 (en) 2011-06-15 2012-12-20 David Amis Systems and methods to activate a security protocol using an object with embedded safety technology
US8878438B2 (en) 2011-11-04 2014-11-04 Ford Global Technologies, Llc Lamp and proximity switch assembly and method
US9767676B2 (en) 2012-01-11 2017-09-19 Honeywell International Inc. Security system storage of persistent data
US20130189946A1 (en) 2012-01-19 2013-07-25 Numerex Corp. Security System Alarming and Processing Based on User Location Information
US9015529B2 (en) 2012-03-13 2015-04-21 Harman International Industries, Incorporated System for remote installed sound compliance testing
US9123222B2 (en) 2012-03-15 2015-09-01 Ninve Jr. Inc. Apparatus and method for detecting tampering with an infra-red motion sensor
US8749375B2 (en) 2012-03-26 2014-06-10 Sony Corporation Hands-free home automation application
US9575476B2 (en) 2012-04-26 2017-02-21 Honeywell International Inc. System and method to protect against local control failure using cloud-hosted control system back-up processing
US8981954B2 (en) 2012-05-08 2015-03-17 General Electric Company Methods, systems, and apparatus for protection system activation and dynamic labeling
US8630741B1 (en) 2012-09-30 2014-01-14 Nest Labs, Inc. Automated presence detection and presence-related control within an intelligent controller
US9673920B2 (en) 2012-12-18 2017-06-06 Department 13, LLC Intrusion detection and radio fingerprint tracking
US9498885B2 (en) 2013-02-27 2016-11-22 Rockwell Automation Technologies, Inc. Recognition-based industrial automation control with confidence-based decision support
US9035763B2 (en) 2013-03-14 2015-05-19 Comcast Cable Communications, Llc Processing alarm signals
CA2820568A1 (fr) 2013-06-21 2014-12-21 Ninve Jr. Inc. Dectection de mouvement doppler differentiel double
TWI495398B (zh) 2013-09-06 2015-08-01 U & U Engineering Inc 整合微波偵測功能之照明裝置
JP6251533B2 (ja) 2013-09-27 2017-12-20 パナソニック株式会社 レーダ装置及び物体検出方法
US9237315B2 (en) 2014-03-03 2016-01-12 Vsk Electronics Nv Intrusion detection with directional sensing
US9384656B2 (en) 2014-03-10 2016-07-05 Tyco Fire & Security Gmbh False alarm avoidance in security systems filtering low in network
US9633547B2 (en) * 2014-05-20 2017-04-25 Ooma, Inc. Security monitoring and control
EP3158821B1 (fr) 2014-06-18 2020-01-08 Verizon Patent and Licensing Inc. Réseaux de capteurs de lumière interactifs
US9626852B2 (en) 2015-02-13 2017-04-18 Chia-Teh Chen Microwave motion sensing technology and its application thereof
US9940797B2 (en) 2015-02-23 2018-04-10 Ecolink Intelligent Technology, Inc. Smart barrier alarm device
US10032366B2 (en) 2015-10-12 2018-07-24 The Chamberlain Group, Inc. Remotely configurable sensor system and method of use
US10248146B2 (en) 2015-10-14 2019-04-02 Honeywell International Inc. System for dynamic control with interactive visualization to optimize energy consumption
US9972195B2 (en) * 2016-10-07 2018-05-15 Vivint, Inc. False alarm reduction
US10020844B2 (en) 2016-12-06 2018-07-10 T&T Intellectual Property I, L.P. Method and apparatus for broadcast communication via guided waves
US20180211502A1 (en) 2017-01-25 2018-07-26 Honeywell International Inc. Apparatus and approach for accurate monitoring of space
US10832564B2 (en) * 2017-05-01 2020-11-10 Johnson Controls Technology Company Building security system with event data analysis for generating false alarm rules for false alarm reduction
US10621839B2 (en) * 2017-07-31 2020-04-14 Comcast Cable Communications, Llc Next generation monitoring system
TWI634455B (zh) 2017-09-21 2018-09-01 光寶科技股份有限公司 動作偵測方法與動作偵測裝置
EP3698336B1 (fr) 2017-10-20 2024-09-18 Defendec OÜ Procédés et dispositifs de détection d'intrusion
US10607478B1 (en) * 2019-03-28 2020-03-31 Johnson Controls Technology Company Building security system with false alarm reduction using hierarchical relationships
US11475672B2 (en) * 2019-07-12 2022-10-18 Stealth Monitoring, Inc. Premises security system with dynamic risk evaluation
US10762773B1 (en) * 2019-08-19 2020-09-01 Ademco Inc. Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US10930122B1 (en) * 2019-09-11 2021-02-23 Motorola Solutions, Inc. Methods and apparatus for detecting faults in a siren-based alert system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9013294B1 (en) 2012-01-24 2015-04-21 Alarm.Com Incorporated Alarm probability
US9224285B1 (en) * 2012-01-24 2015-12-29 Alarm.Com Incorporated Alarm probability
US20150061859A1 (en) 2013-03-14 2015-03-05 Google Inc. Security scoring in a smart-sensored home
US9786158B2 (en) * 2014-08-15 2017-10-10 Adt Us Holdings, Inc. Using degree of confidence to prevent false security system alarms
WO2016109838A1 (fr) 2014-12-31 2016-07-07 Google Inc. Gestion automatisée de livraison de colis à une maison intelligente
US10380521B2 (en) * 2016-06-06 2019-08-13 Tyco Integrated Security Llc Predicting service for intrusion and alarm systems based on signal activity patterns

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220172602A1 (en) * 2019-08-19 2022-06-02 Ademco Inc. Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system
US11776387B2 (en) * 2019-08-19 2023-10-03 Ademco Inc. Systems and methods for building and using a false alarm predicting model to determine whether to alert a user and/or relevant authorities about an alarm signal from a security system

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